Multi State Models

A special issue of the Journal of Statistical Software has come out devoted to Multi State Models and Competing Risks. It is a must read for anyone with interest in Pharma Analytics or Survival Analysis- even if you dont know much R

Here is an extract from “mstate: An R Package for the Analysis ofCompeting Risks and Multi-State Models”

Multi-state models are a very useful tool to answer a wide range of questions in sur-vival analysis that cannot, or only in a more complicated way, be answered by classicalmodels. They are suitable for both biomedical and other applications in which time-to-event variables are analyzed. However, they are still not frequently applied. So far, animportant reason for this has been the lack of available software. To overcome this prob-lem, we have developed the mstate package in R for the analysis of multi-state models.The package covers all steps of the analysis of multi-state models, from model buildingand data preparation to estimation and graphical representation of the results. It canbe applied to non- and semi-parametric (Cox) models. The package is also suitable forcompeting risks models, as they are a special category of multi-state models.

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Issues for JSS Special Volume 38: Competing Risks and Multi-State Models

Special Issue about Competing Risks and Multi-State Models

Hein Putter
Vol. 38, Issue 1, Jan 2011
Submitted 2011-01-03, Accepted 2011-01-03

Url: http://www.jstatsoft.org/v38/i01

Paper: http://www.jstatsoft.org/v38/i01/paper

Analyzing Competing Risk Data Using the R timereg Package

Thomas H. Scheike, Mei-Jie Zhang
Vol. 38, Issue 2, Jan 2011
Submitted 2009-05-25, Accepted 2010-06-22

Url: http://www.jstatsoft.org/v38/i02

Paper: http://www.jstatsoft.org/v38/i02/paper

p3state.msm: Analyzing Survival Data from an Illness-Death Model

Luís Filipe Meira Machado, Javier Roca-Pardiñas
Vol. 38, Issue 3, Jan 2011
Submitted 2009-06-30, Accepted 2010-03-02